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Algorithmic Acceleration of 3D Reconstruction for Real Time Medical Imaging

Semester: Fall 2021


Presentation description

The research is an acceleration of a current medical image reconstruction process consisting of Jacobi iterations from Joseph's method. Part one of the research focused on the precomputation of a projector operator matrix and the subsequent utilization of matrix multiplication techniques to produce a matched projection operator. Part two focused on angular compression methods to accelerate convergence without sacrificing image quality or convergence error.

Presenter Name: Jared Green

Presentation Type: Poster
Presentation Format: Virtual
Presentation #5
College: Engineering
School / Department: School of Computing
Research Mentor: Cem Yuksel
Date | Time: Friday, Dec 3rd | 12:00 AM

Audio